Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Sustained Spheromak Physics Experiment (SSPX): design and physics results
2012370 citationsE. B. Hooper, R.H. Bulmer et al.Plasma Physics and Controlled Fusionprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of C. R. Sovinec's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by C. R. Sovinec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. R. Sovinec more than expected).
This network shows the impact of papers produced by C. R. Sovinec. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by C. R. Sovinec. The network helps show where C. R. Sovinec may publish in the future.
Co-authorship network of co-authors of C. R. Sovinec
This figure shows the co-authorship network connecting the top 25 collaborators of C. R. Sovinec.
A scholar is included among the top collaborators of C. R. Sovinec based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with C. R. Sovinec. C. R. Sovinec is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sovinec, C. R., et al.. (2021). Initial Results of NIMSTELL, the Stellarator Variant of NIMROD. Bulletin of the American Physical Society.2 indexed citations
5.
Artola, F.J., et al.. (2020). Axisymmetric simulations of vertical displacement events in tokamaks: A benchmark of M3D-C<sup>1</sup>, NIMROD, and JOREK. MPG.PuRe (Max Planck Society).15 indexed citations
6.
Sovinec, C. R., et al.. (2020). Development of MHD simulation capability for stellarators. APS Division of Plasma Physics Meeting Abstracts. 2020.
7.
Sovinec, C. R., et al.. (2020). Development of a Reduced Fluid Model for Runaway Electrons in NIMROD Simulations. APS Division of Plasma Physics Meeting Abstracts. 2020.2 indexed citations
8.
Wang, Ge & C. R. Sovinec. (2018). Simulation of Resistive Wall Modes using NIMROD. APS. 2018.1 indexed citations
Reiman, A., A. D. Turnbull, T.E. Evans, et al.. (2014). A Cross-Benchmarking and Validation Initiative for Tokamak 3D Equilibrium Calculations. Bulletin of the American Physical Society. 2014.2 indexed citations
11.
Hooper, E. B., R.H. Bulmer, B. I. Cohen, et al.. (2012). Sustained Spheromak Physics Experiment (SSPX): design and physics results. Plasma Physics and Controlled Fusion. 54(11). 113001–113001.370 indexed citations breakdown →
12.
Zhu, Ping, et al.. (2008). Nonlinear Ballooning Filament: Structure and Growth. Bulletin of the American Physical Society. 50.1 indexed citations
13.
Howell, E. C. & C. R. Sovinec. (2008). NIMEQ: MHD Equilibrium Solver for NIMROD. APS Division of Plasma Physics Meeting Abstracts. 50.3 indexed citations
Zhu, Ping, C. R. Sovinec, C. C. Hegna, K. Germaschewski, & A. Bhattacharjee. (2006). Nonlinear Ballooning Instability in the Near-Earth Magnetotail: Growth, Structure, and Possible Role in Substorms. AGUSM. 2007.1 indexed citations
Sovinec, C. R., Hao Tian, D. D. Schnack, A.Y. Pankin, & D. C. Barnes. (2005). Semi-Implicit Extended MHD Simulation. Bulletin of the American Physical Society. 47.
Sovinec, C. R.. (1991). The van Leer advection algorithm in the MACH2 computer code. Defense Technical Information Center (DTIC).1 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.